Logistic Regression and Prediction for Health Data

Bhramar Mukherjee holds the John D. Kalbfleisch Distinguished Professorship and serves as a Professor of Epidemiology and Global Public Health at the University of Michigan School of Public Health. Additionally, she is the Associate Director for Quantitative Data Sciences at the University of Michigan Rogel Cancer Center. Her research focuses on statistical methods for analyzing electronic health records, gene-environment interactions, Bayesian methods, shrinkage estimation, and high-dimensional exposure data analysis. During the COVID-19 pandemic, Bhramar and her team actively modeled the trajectory of the SARS-CoV-2 virus in India, gaining recognition in major media outlets such as Reuters, BBC, NPR, The New York Times, The Wall Street Journal, Der Spiegel, Australian National Radio, and The Times of India. With over 360 co-authored articles in statistics, biostatistics, medicine, and public health, she is also the founding director of the University of Michigan's Summer Institute on Big Data. Bhramar is a fellow of both the American Statistical Association and the American Association for the Advancement of Science, and she has received numerous awards for her scholarship, service, and teaching, including the Gertrude Cox Award from the Washington Statistical Society in 2016 and the L. Adrienne Cupples Award from Boston University in 2020. In 2021, she was honored with the Distinguished Woman Scholar Award from Purdue University, the Janet L. Norwood Award from the University of Alabama at Birmingham, and the Sarah Goddard Power Award from the University of Michigan Academic Women’s Caucus. Most notably, she was elected as a member of the US National Academy of Medicine in 2022 and received the Karl E. Peace Award for her statistical contributions toward societal betterment from the American Statistical Association in 2023.